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Research Paper

The Impact of Various Music Genres on the Emotional and Psychological State of Different Age Groups

Music functions as an extensive emotional and cognitive tool that varies in meaning across the lifespan. Drawing on decades of music‑psychology research, this study examines how five genres—classical, pop, jazz, grunge rock, and ambient (designer) music—serve distinct psychological functions for adolescents, young adults, middle‑aged adults, and older listeners. Classical music is linked to cognitive enhancement, calm, and nostalgia; pop music facilitates mood regulation, identity formation, and social bonding; jazz offers intellectual engagement and emotional complexity that deepens with age; grunge rock provides cathartic expression and identity reinforcement during adolescence and early adulthood, later shifting to nostalgic remembrance; ambient music supplies low‑arousal support for focus, relaxation, and therapeutic applications, especially in later life. The paper integrates traditional survey and experimental findings with large‑scale streaming‑data analytics, demonstrating that genre‑specific listening patterns can be quantified through skip rates, replay frequency, and personalized recommendation algorithms. Results highlight the age‑dependent psychological roles of each genre and illustrate how data‑driven methods can validate and extend theoretical models of music‑induced emotion regulation, identity development, and cognitive support across the human lifespan.

Published by: Sujay Aitha

Author: Sujay Aitha

Paper ID: V11I6-1286

Paper Status: published

Published: January 21, 2026

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Research Paper

Haunted Milk, Hollow Markets, Maternal Spectrality, Patriarchal Trade, and Feminist IR Readings of AGOA through Toni Morrison’s Beloved

This thesis examines Toni Morrison’s Beloved as a critical feminist International Relations (IR) text that exposes the structural continuities between slavery-era reproductive violence and contemporary global political economy. Anchored in Morrison’s concept of rememory, the study argues that the novel’s spectral maternal motifs—particularly stolen milk, infanticidal protection, and communal rebirth—function as analytic tools for understanding how patriarchal systems of extraction persist beyond formal emancipation. By situating Beloved within feminist IR, this research reframes literary trauma not as historical memory alone, but as an ongoing political condition embedded in international economic structures. Through a close reading of Beloved, the thesis theorises the theft of Sethe’s breast milk as an act of commodification of reproductive labour, wherein Black motherhood is rendered extractable, punishable, and economically exploitable. This logic, the study contends, reappears in contemporary trade regimes—most notably the African Growth and Opportunity Act (AGOA)—where African women’s labour sustains global apparel supply chains while remaining systematically undervalued. Feminist IR concepts of everyday violence and patriarchal privilege reveal how global trade policies, though framed as development instruments, reproduce gendered harm through low wages, labour precarity, environmental toxicity, and sexual coercion in export-oriented industries. Integrating political economy with feminist economics, the thesis draws on motherhood penalty theory, particularly the work of Claudia Goldin, to demonstrate how global markets disproportionately penalise women for reproductive and caregiving labour. In AGOA-export economies, women’s concentration in apparel work is not incidental but structural: motherhood reduces bargaining power, increases vulnerability, and makes women ideal subjects for exploitation under neoliberal trade. This analysis positions maternal labour as central—rather than peripheral—to international economic policy, challenging the presumed gender neutrality of trade agreements. Finally, the thesis addresses a critical gap across literary studies, feminist IR, and trade scholarship by employing Beloved as a methodological framework rather than a symbolic reference. While extensive research exists on trauma and motherhood in Morrison’s work and on AGOA’s economic outcomes, no study to date integrates maternal literary motifs into feminist trade analysis. By doing so, this research proposes narrative-driven, gender-just trade reforms, arguing that women’s embodied experiences must be recognised as legitimate sources of international political knowledge. Until trade regimes confront their reliance on gendered extraction, the thesis concludes, the spectral presence of Beloved will continue to haunt global markets.

Published by: Phalak Singh Khatkar

Author: Phalak Singh Khatkar

Paper ID: V11I6-1322

Paper Status: published

Published: January 8, 2026

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Technical Notes

The River Imperative: Innovative Strategic Management for India’s Water Prosperity

Water is an essential requirement for the survival of all living beings on Earth. It is not only vital for drinking and basic sustenance but also indispensable for daily human needs, agriculture, animal life, aquatic ecosystems, vegetation and many such connected. Water supports industries, urban development, and environmental balance in every aspect of life. Ultimately, the management and preservation of water resources contribute significantly to the prosperity of the nation, as rivers and water systems sustain life from their source to the sea.

Published by: H. M. Vishwanatha Sastry, B. K. Viswanath

Author: H. M. Vishwanatha Sastry

Paper ID: V11I6-1285

Paper Status: published

Published: January 6, 2026

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Research Paper

Determinants of School Orientation in Urban and Rural Areas of Analamanga Antananarivo, Madagascar

School orientation constitutes a decisive stage in students’ educational trajectories, influencing their motivation, academic achievement, and future professional prospects. Although this choice should ideally be guided by each student’s personal aspirations, abilities, and interests, it is often shaped by a range of external factors, notably familial, economic, cultural, and geographical influences. In many contexts, orientation decisions do not result from a free and informed process but rather from sometimes constraining influences exerted by parents, teachers, or the social environment. This study examines the dynamics of school orientation in two contrasting contexts: urban and rural settings. It aims to highlight the impact of variables such as family income, parents’ level of education, their educational attitudes and expectations, as well as students’ perceptions of their own abilities and career prospects. Through a comparative analysis, the study seeks to understand how these factors, depending on the context, contribute to either enhancing or constraining students’ freedom of choice in their educational pathways.

Published by: Radanielina Tsaranto Evatiana Rahaliva, Andrianarimanana Jean Claude Omer, Rakotoson Olivia, Andrianjary Myriam

Author: Radanielina Tsaranto Evatiana Rahaliva

Paper ID: V11I6-1318

Paper Status: published

Published: December 30, 2025

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Research Paper

Transforming Library Management, Leveraging Data Analytics through A Strategic Approach

In the era of digital transformation, analytics has emerged as a critical enabler across industries, including library management. Libraries, now evolving into knowledge management centres, face dynamic user needs and operational challenges. This paper explores the role of data analytics in enhancing library services, improving decision-making, and addressing contemporary challenges. It outlines the types of analytics applicable to libraries, the analytical environment, and strategies for overcoming operational constraints. Practical examples and case studies illustrate how analytics can be effectively integrated into library operations to optimise resources and strengthen user engagement.

Published by: Mr. Kishore Ramdas Ingale, Dr. Anil P Sarode, Ms. Shubhada Sachin Apte

Author: Mr. Kishore Ramdas Ingale

Paper ID: V11I6-1299

Paper Status: published

Published: December 24, 2025

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Review Paper

Autonomous Drone Navigation Using Computer Vision: Challenges and Future Directions

Unmanned Aerial Vehicles (UAVs), commonly known as drones, have emerged as versatile platforms revolutionizing diverse fields such as precision agriculture, environmental monitoring, infrastructure inspection, and disaster management. Their growing impact is driven by advances in autonomy that enable efficient, scalable, and intelligent operations. Among the enabling technologies, computer vision plays a pivotal role by allowing drones to perceive, interpret, and interact with their environment through visual sensing. This capability has significantly improved tasks such as obstacle detection, localization, mapping, and scene understanding, even in GPS-denied or visually degraded conditions. Despite these advances, achieving full autonomy remains a major challenge. Vision-based navigation is often hindered by adverse weather, illumination changes, dynamic obstacles, and computational limitations, alongside issues of domain shift and long-tail edge cases that compromise reliability and safety. This review paper presents a comprehensive analysis of recent progress in vision-based autonomous drone navigation, spanning classical computer vision, deep learning, and emerging paradigms such as Vision Transformers, reinforcement learning, and self-supervised learning. It further highlights open challenges and outlines future research directions, including multi-sensor fusion, domain adaptation, collaborative perception, neuromorphic computing, and explainable AI—aiming to guide the development of resilient and robust UAV systems capable of dependable real-world autonomy.

Published by: Muhammad Jamil Sani, Jamal Nasser Alotaibi

Author: Muhammad Jamil Sani

Paper ID: V11I6-1282

Paper Status: published

Published: December 24, 2025

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